Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add minhnv0807/ai-business-skills --skill 34-ai-marketing-os-globalgit clone --depth 1 https://github.com/minhnv0807/ai-business-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global)<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00182 | $0.02103 |
| Opus 5 | $0.00091 | $0.01052 |
| Sonnet 5 | $0.00036 | $0.00421 |
| Haiku 4.5 | $0.00018 | $0.00210 |
Grade A, and why
34-ai-marketing-os-global scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Marketing OS (Global)
This skill designs the operating system for AI-assisted marketing: source of truth, roles, skill chains, data loops, review cadence, and handoffs. The goal is to help a team use AI as an operating system, not as scattered one-off prompts.
Information gathering
Read .agents/product-marketing-context-global.md if available. If the user has a plan, dashboard, SOP, Notion/Drive structure, ads report, or campaign brief, use it as input. Ask up to 4 questions: team structure, 90-day goal, current AI/tool stack, and biggest workflow pain. For detailed patterns, read references/ai-marketing-os-playbook.md.
When to use
Use this skill when the user needs to:
- Build an AI Marketing OS for an SMB, agency, SaaS team, creator-led business, education business, service business, or B2B team.
- Audit how the team uses AI: repeated prompts, lost context, disconnected chats, weak reporting, or no source of truth.
- Design a Brand Hub, skill chain, role-based agent/project setup, MCP/connectors, and Notion/Drive second brain.
- Create daily, weekly, and monthly SOPs for content, performance, campaigns, reporting, and handoffs.
Do not use this skill for a single artifact. Use the relevant older skill instead: 00-marketing-plan-global, 01-content-calendar-global, 02-campaign-brief-global, 05-ad-copy-global, 07-marketing-report-global, 10-reverse-kpi-global, or 31-offer-design-global.
Principles
- Brand Hub is the source of truth. Scattered context creates inconsistent agent output.
- Roles before tools. Define Strategy, Campaign, Content, Design, Performance, and Sales/RevOps before choosing tools.
- Skill chains beat one-off prompts. Every workflow should define input, skill, output, and next skill.
- Old data before new plans. New plans should read previous reports, dashboards, bottlenecks, and lessons.
- Human approval at risk points. Budget, claims, legal/privacy, brand voice, and campaign launch need review.
- Small cycles, steady review. Daily check, weekly decision review, monthly retro, quarterly refresh.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 187 lines · 182 tokens per session scan A 08caea437e67
34-ai-marketing-os-global is a skill published in the GitHub repository minhnv0807/ai-business-skills (572 stars, last pushed 26d ago), licensed MIT. It adds 182 tokens to every session and 2,103 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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